Sinan Q. Salih

4.2k total citations
79 papers, 3.2k citations indexed

About

Sinan Q. Salih is a scholar working on Environmental Engineering, Artificial Intelligence and Water Science and Technology. According to data from OpenAlex, Sinan Q. Salih has authored 79 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Environmental Engineering, 22 papers in Artificial Intelligence and 18 papers in Water Science and Technology. Recurrent topics in Sinan Q. Salih's work include Hydrological Forecasting Using AI (25 papers), Hydrology and Watershed Management Studies (13 papers) and Energy Load and Power Forecasting (9 papers). Sinan Q. Salih is often cited by papers focused on Hydrological Forecasting Using AI (25 papers), Hydrology and Watershed Management Studies (13 papers) and Energy Load and Power Forecasting (9 papers). Sinan Q. Salih collaborates with scholars based in Vietnam, Iraq and Malaysia. Sinan Q. Salih's co-authors include Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Nadhir Al‐Ansari, AbdulRahman A. Alsewari, Tao Hai, Ahmad Sharafati, Shamsuddin Shahid, Zainab Hasan Ali, Kwok‐wing Chau, Anurag Malik and Özgür Kişi and has published in prestigious journals such as PLoS ONE, Scientific Reports and Chemosphere.

In The Last Decade

Sinan Q. Salih

73 papers receiving 3.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sinan Q. Salih Vietnam 36 1.2k 931 737 679 510 79 3.2k
Sungwon Kim South Korea 34 2.0k 1.7× 1.3k 1.4× 1.2k 1.6× 801 1.2× 622 1.2× 121 3.4k
Mumtaz Ali Australia 42 1.1k 1.0× 601 0.6× 728 1.0× 1.2k 1.7× 835 1.6× 210 4.8k
Narjes Nabipour Vietnam 29 681 0.6× 648 0.7× 746 1.0× 346 0.5× 268 0.5× 57 2.7k
Saeed Farzin Iran 31 837 0.7× 944 1.0× 590 0.8× 409 0.6× 297 0.6× 103 2.7k
Amirhosein Mosavi Iran 27 738 0.6× 536 0.6× 573 0.8× 391 0.6× 205 0.4× 69 2.7k
Meysam Alizamir Iran 26 868 0.7× 626 0.7× 359 0.5× 502 0.7× 404 0.8× 63 1.9k
Babak Mohammadi Sweden 32 1.5k 1.3× 1.0k 1.1× 1.3k 1.8× 521 0.8× 458 0.9× 85 2.9k
Mohammad Ehteram Iran 34 1.7k 1.5× 1.7k 1.8× 803 1.1× 504 0.7× 514 1.0× 111 3.5k
Salim Heddam Algeria 39 2.5k 2.2× 2.1k 2.3× 1.1k 1.5× 821 1.2× 534 1.0× 175 4.4k
Haitham Abdulmohsin Afan Malaysia 32 2.1k 1.8× 1.9k 2.1× 869 1.2× 404 0.6× 416 0.8× 71 3.5k

Countries citing papers authored by Sinan Q. Salih

Since Specialization
Citations

This map shows the geographic impact of Sinan Q. Salih's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sinan Q. Salih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sinan Q. Salih more than expected).

Fields of papers citing papers by Sinan Q. Salih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sinan Q. Salih. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sinan Q. Salih. The network helps show where Sinan Q. Salih may publish in the future.

Co-authorship network of co-authors of Sinan Q. Salih

This figure shows the co-authorship network connecting the top 25 collaborators of Sinan Q. Salih. A scholar is included among the top collaborators of Sinan Q. Salih based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sinan Q. Salih. Sinan Q. Salih is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rashid, Tarik A., Aram M. Ahmed, Bryar A. Hassan, et al.. (2025). Multi-objective Optimization Techniques. ArXiv.org.
2.
Chen, Heng, Sinan Q. Salih, Ahmad Almadhor, et al.. (2025). Leveraging multi-effect energy utilization in a biomass-based system for H2 production and urban energy needs: 4E analysis and ANN-based grey wolf optimization. Energy. 333. 137323–137323. 2 indexed citations
3.
Sun, Xin, Sinan Q. Salih, Mohamed Shaban, et al.. (2025). Improving energy absorption capacity in a thermal energy storage system for domestic heating applications using an integrated machine learning/numerical approach. Applied Thermal Engineering. 279. 127758–127758. 1 indexed citations
4.
Salih, Sinan Q., AbdulRahman A. Alsewari, Hafiz Abdul Wahab, et al.. (2023). Multi-population Black Hole Algorithm for the problem of data clustering. PLoS ONE. 18(7). e0288044–e0288044. 6 indexed citations
5.
Salih, Sinan Q., et al.. (2023). An Efficient Hybrid Filter-Wrapper Feature Selection Approach for Network Intrusion Detection System. International journal of intelligent engineering and systems. 16(6). 261–273. 2 indexed citations
6.
Fadhil, Hilal A., et al.. (2023). Designing an optimal PID controller for a PV-connected Zeta converter using genetic algorithm. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 15(1). 566–566.
7.
Salih, Sinan Q., et al.. (2023). Grey Wolf Optimizer and Discrete Chaotic Map for Substitution Boxes Design and Optimization. IEEE Access. 11. 42416–42430. 24 indexed citations
8.
Alsewari, AbdulRahman A., et al.. (2023). Sentiment Analysis Based on Hybrid Neural Network Techniques Using Binary Coordinate Ascent Algorithm. IEEE Access. 11. 134087–134099. 4 indexed citations
9.
Althoey, Fadi, Sinan Q. Salih, Pradeep Kumar Singh, et al.. (2023). Overall efficiency increment in a pin-fin microchannel heat sink using response surface methodology and Pareto optimization. Case Studies in Thermal Engineering. 53. 103855–103855. 6 indexed citations
10.
Hai, Tao, Sinan Q. Salih, Mustafa K. A. Mohammed, et al.. (2023). Development of high-resolution gridded data for water availability identification through GRACE data downscaling: Development of machine learning models. Atmospheric Research. 291. 106815–106815. 11 indexed citations
11.
Ibrahim, Amer M., et al.. (2023). Security and Privacy Protection for Online Electronic Documents Based on Novel Encryption Techniques. Journal of Intelligent Systems and Internet of Things. 11(1). 21–28. 6 indexed citations
12.
Hai, Tao, Sinan Q. Salih, Atheer Y. Oudah, et al.. (2022). Development of new computational machine learning models for longitudinal dispersion coefficient determination: case study of natural streams, United States. Environmental Science and Pollution Research. 29(24). 35841–35861. 28 indexed citations
13.
Aydin, S., et al.. (2022). Exploiting the Generative Adversarial Network Approach to Create a Synthetic Topography Corneal Image. Biomolecules. 12(12). 1888–1888. 15 indexed citations
14.
Bhagat, Suraj Kumar, Tiyasha Tiyasha, Zainab Al-Khafaji, et al.. (2022). Establishment of Dynamic Evolving Neural‐Fuzzy Inference System Model for Natural Air Temperature Prediction. Complexity. 2022(1). 14 indexed citations
15.
Hashmi, Mohammad Farukh, et al.. (2021). GaitVision: Real‐Time Extraction of Gait Parameters Using Residual Attention Network. Complexity. 2021(1).
16.
Hassan, Mohamed H., Salah Kamel, Sinan Q. Salih, Tahir Khurshaid, & Mohamed Ebeed. (2021). Developing Chaotic Artificial Ecosystem-Based Optimization Algorithm for Combined Economic Emission Dispatch. IEEE Access. 9. 51146–51165. 57 indexed citations
17.
Hai, Tao, Ali Omran Al‐Sulttani, Zainab Hasan Ali, et al.. (2020). Training and Testing Data Division Influence on Hybrid Machine Learning Model Process: Application of River Flow Forecasting. Complexity. 2020. 1–22. 40 indexed citations
18.
Afan, Haitham Abdulmohsin, Mohammed Falah Allawi, Ahmed El‐Shafie, et al.. (2020). Input attributes optimization using the feasibility of genetic nature inspired algorithm: Application of river flow forecasting. Scientific Reports. 10(1). 4684–4684. 65 indexed citations
19.
Cui, Fang, Sinan Q. Salih, Bahram Choubin, et al.. (2020). Newly explored machine learning model for river flow time series forecasting at Mary River, Australia. Environmental Monitoring and Assessment. 192(12). 761–761. 28 indexed citations
20.
Hai, Tao, Md Zakirul Alam Bhuiyan, Md. Arafatur Rahman, et al.. (2019). TrustData: Trustworthy and Secured Data Collection for Event Detection in Industrial Cyber-Physical System. IEEE Transactions on Industrial Informatics. 16(5). 3311–3321. 58 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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